Multi-scale Forest Habitat Monitoring Using Remote Sensing Data

نویسندگان

  • Antonia OSBERGER
  • Thomas STRASSER
  • Barbara RIEDLER
  • Joanna ADAMCZYK
  • Stefan LANG
  • Lena PERNKOPF
چکیده

Remote sensing imagery and advanced image analysis methods show high potential for monitoring forest habitat issues. The objective of this paper is to provide ready-to-use information on forest habitats by conducting a multi-scale approach for the delineation of such, and the assessment of their conservation status on multi-spectral satellite imagery of high and very high spatial resolution, as well as LiDAR data. This information should help forest managers in the decision-making process and contribute to a sustainable management. The evaluation of the quality of forest habitats is performed on suitable indicators such as structure and composition on broad-scale for whole landscapes and on fine-scale for individual protected sites. In this context, information layers and direct habitat mapping can help to address the complex task of monitoring forest habitats and to harmonize information output.

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تاریخ انتشار 2014